Angel FelizSS Wilmington Blue Rocks
Age 19 R/R 6'3" / 185 lbs A+ HR -9% Svc 0.0 · Ctrl thru 2035 peak 3.5 · 2033
wRC+†67
AVG/OBP/SLG.220 / .293 / .344
PA320
HR7
SB16
K%27
BB%9
MLB%0%
BAT: -11.8 runs (wOBA-derived runs vs avg)-12BATRUN: +1.9 runs (SB/CS + UBR baserunning)+2RUNFLD: -1.1 runs (Defensive runs vs avg)-1FLDPOS: +3.4 runs (Positional adjustment)+3POSREP: +9.1 runs (Replacement-level credit)+9REPTotal WAR: +0.10+0.1WAR
Scouting · nowfuture
HIT
2546
PWR
3044
SPD
4038
FLD
3552
EYE
4860
trajectory · 10 yrs
3.8peak
2033

Contract

ESTIMATED  ·  service-time + WAR-based estimator (needs verification)
Status   MiLB
MLB Debut   2030
Service   0 yrs (est)
Team Control Through   2035
First FA Year   2036
YearStatusSalary Proj WAR Value Surplus
2026MiLBstill in minors · estimated debut 2030
2027MiLBstill in minors · estimated debut 2030
2028MiLBstill in minors · estimated debut 2030
2029MiLBstill in minors · estimated debut 2030
2030Pre-Arb$0.9M+2.8$25M+$24M
2031Pre-Arb$0.9M+3.1$29M+$28M
2032Pre-Arb$0.9M+3.4$32M+$32M
2033Arb-1$7M+3.5$34M+$27M
2034Arb-2$12M+3.5$35M+$24M
2035Arb-3$17M+3.3$34M+$18M
Totals $38M $191M +$152M

Career Projections (MLE)

All seasons translated to park-neutral MLB-equivalent (MLE) and combined per year. 2026 = actual YTD + projected ROS + total. 2027+ via Advanced Marcel + aging curve.

YearAge LvlTeam PAAB H2B3BHR BBSOHBP SBCS AVGOBPSLGOPS ISOBABIP K%BB% wOBAwRC+ BATRUNFLDPOSREP WAR
202417 ROKDSL Nationals 194180 41722 12480 278 .228.276.322.598 .094.295 256 .266 62 -8 +2 +0 +2 +5 0.1
202518 ROK2 teams 344309 62643 261042 157 .201.267.275.542 .074.286 308 .242 43 -22 +0 +0 +4 +10 -0.9
▸ 2026 Season (actual · ROS · total)
202619 A+Wilmington Blue Rocks 7867 12111 9170 82 .179.276.269.545 .090.216 2212 .243 44 -5 +1 +0 +1 +2 -0.1
ROS19 MLBWSH 242217 47825 22631 82 .217.292.341.633 .124.277 269 .283 75 -7 +1 -1 +3 +7 0.2
TOT19 MLBWSH 320284 59936 31801 164 .208.288.324.612 .116.264 2510 .273 67 -12 +2 -1 +3 +9 0.1
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202720 MLB 11%WSH 405359 811439 40933 113 .226.308.357.665 .131.279 2310 .303 90 -4 +1 -2 +4 +11 1.1
202821 MLB 28%WSH 490432 10118313 511094 123 .234.320.380.700 .146.281 2210 .313 98 -1 +1 -2 +5 +14 1.7
202922 MLB 48%WSH 550481 11520416 591195 123 .239.328.397.726 .158.282 2211 .322 104 +3 +1 -2 +6 +16 2.3
203023 MLB 66%WSH 590514 12522418 651256 112 .243.335.407.742 .163.282 2111 .328 109 +6 +1 -3 +6 +17 2.8
203124 MLB 82%WSH 616536 13023419 691296 102 .243.336.407.742 .164.283 2111 .332 112 +8 +1 -3 +7 +17 3.1
203225 MLBWSH 630547 13323420 721316 102 .243.338.410.747 .166.283 2111 .335 114 +10 +1 -3 +7 +18 3.4
203326 MLBWSH 636551 13524420 741326 92 .245.341.412.753 .167.284 2112 .336 116 +11 +1 -3 +7 +18 3.5
203427 MLBWSH 636550 13423420 751326 82 .244.341.409.750 .165.284 2112 .337 116 +11 +1 -3 +7 +18 3.5
203528 MLBWSH 630544 13323420 751326 71 .244.342.412.754 .167.283 2112 .335 115 +11 +1 -3 +7 +18 3.3
203629 MLBWSH 620535 12922419 741326 71 .241.340.404.744 .163.282 2112 .333 113 +9 +1 -4 +7 +18 3.1
203730 MLBWSH 609525 12722419 731326 60 .242.341.408.749 .166.281 2212 .330 111 +7 +1 -5 +7 +17 2.8
203831 MLBWSH 595514 12121318 711315 50 .235.334.393.727 .158.280 2212 .326 108 +5 +1 -5 +6 +17 2.5
203932 MLBWSH 576498 11620317 681305 40 .233.331.388.719 .155.278 2312 .322 104 +3 +1 -6 +6 +16 2.0
204033 MLBWSH 547472 10718315 651275 30 .227.327.373.699 .146.276 2312 .316 100 +0 +1 -7 +6 +15 1.6
204134 MLBWSH 499433 9616313 591204 30 .222.321.363.683 .141.275 2412 .310 95 -3 +1 -7 +5 +14 1.0
204235 MLBWSH 443384 8314211 521114 30 .216.316.349.665 .133.272 2512 .302 89 -5 +1 -8 +5 +13 0.5
204336 MLBWSH 382332 701129 441003 30 .211.309.337.646 .127.269 2612 .293 82 -8 +1 -8 +4 +11 -0.0
204437 MLBWSH 316275 57927 36862 30 .207.304.331.634 .124.265 2711 .283 75 -9 +1 -8 +3 +9 -0.5
204538 MLBWSH 247215 43715 28692 20 .200.298.312.610 .112.261 2811 .273 67 -9 +0 -9 +3 +7 -0.8
▸ Career Totals (MLE all levels + projections)
Career 107979403 218637169298 1210245593 17938 .232.326.382.708 .149.282 2311 .317 101 +8 +21 -92 +116 +306 36.6
/ 162G 650566 13122418 731486 112 .231.326.380.705 .148.280 2311 .317 101 +0 +1 -6 +7 +18 2.2

Historical Stats — Raw (Per Stint)

Actual MLB + MiLB stats as they happened, one row per stint at each level. Use this to see what really got recorded; the table above shows MLB-equivalent translations + projections.

YearAge LvlTeam PAAB H2B3BHR BBSOHBP SBCS AVGOBPSLGOPS ISOBABIP K%BB% wOBAwRC+ BATRUNFLDPOSREP WAR
202417 ROKDSL Nationals 194171 53934 21360 278 .310.385.468.853 .158.368 1911 .376 146 +10 +2 +5 1.8
202518 AFredericksburg Nationals 116100 23313 12270 50 .230.312.370.682 .140.278 2310 .298 86 -2 +1 +3 0.3
202518 ROKFCL Nationals 228193 51741 30442 107 .264.369.358.726 .093.333 1913 .330 111 +3 -1 +6 0.9

Career Path Comps

What happened to players with a similar stat profile at this age · Y-axis: wRC+ (100 = league avg, 150 = elite, 80 = below) · Bands: P10–P90 outer, P25–P75 inner · Gold: OGILVIE projection

Scouting At Match Age Next 3 Yrs Peak 3 Yrs
Comp Age HIT PWR SPD EYE AVG/OBP/SLG ISOBABIP HRSB K%BB% wRC+WAR AVG/OBP/SLG ISOBABIP HRSB K%BB% wRC+WAR AVG/OBP/SLG ISOBABIP HRSB K%BB% wRC+WAR
Angel Feliz (OGILVIE) 19 25→46 30→44 40→38 60 .220/.293/.344 .123.288 76 27% 9% 79 +0.2
Mark Vientos
2019 · A
19 42→50 45→60 43→30 45 .215/.274/.337 .122.275 143 27% 7% 69 -0.4 .206/.251/.346 .140.279 172 32% 5% 62 -0.9 .246/.306/.451.204.32128031%7%109+2.0
Luis Campusano
2018 · A
19 43→53 41→50 42→30 44 .214/.269/.309 .096.275 104 26% 6% 59 -1.1 .248/.300/.359 .111.296 112 19% 6% 85 +0.7 .261/.327/.424.162.29521119%8%110+1.4
Ronarsy Ledesma
2012 · A
19 42 42→45 47→50 43 .205/.277/.309 .104.271 98 27% 6% 64 -0.8 .224/.284/.326 .102.290 511 24% 5% 70 -0.3 .226/.280/.337.111.29161123%4%69-0.2
Luis Alvarez
2009 · A
19 47 43→45 44→45 48 .230/.303/.339 .110.271 105 19% 7% 82 +0.5 .225/.291/.326 .101.280 95 22% 6% 73 -0.1 .212/.264/.322.111.25213121%4%57-0.3
Elias Díaz
2010 · A
19 42→52 40→50 43→45 44 .205/.267/.300 .095.269 85 26% 7% 56 -1.3 .185/.233/.263 .078.242 54 25% 5% 31 -3.0 .253/.312/.392.139.28017016%7%96+0.8
Moisés Ballesteros
2023 · A
19 43→53 46→50 46→40 47 .216/.283/.346 .130.273 145 26% 8% 75 -0.0 .241/.299/.377 .136.292 164 22% 7% 90 +1.0 .259/.317/.396.137.30516320%7%100+1.5
Rudy van Heydoorn
2009 · A
20 40 43→45 43→50 47 .193/.290/.298 .105.281 1110 32% 10% 67 -0.5 .182/.264/.285 .103.284 106 37% 8% 52 -1.6 .153/.236/.254.101.23711238%9%32-0.9
Manuel Joseph
2013 · A
19 46 40→45 44→50 45 .221/.275/.318 .097.272 88 21% 6% 63 -0.8 .243/.298/.349 .106.288 815 18% 6% 82 +0.5 .263/.321/.381.118.302102115%5%101+0.8
Andy Pages
2021 · A
20 41→51 47→60 46→45 46 .210/.298/.347 .138.263 1510 26% 8% 83 +0.6 .215/.301/.412 .197.284 256 32% 9% 101 +1.8 .261/.318/.433.172.316211023%6%110+1.8
Randy Florentino
2019 · A
19 46 44→50 45 51 .220/.307/.353 .132.309 108 30% 11% 87 +0.8 .194/.270/.290 .096.293 85 33% 9% 56 -1.3 .183/.230/.260.077.2388426%5%28-1.0
Adael Amador
2022 · A
19 45→54 41→50 45→55 47 .219/.281/.317 .098.274 811 23% 8% 66 -0.6 .241/.317/.373 .132.280 1517 19% 9% 97 +1.5 .233/.312/.369.136.267172319%9%90+0.8
Jesus Rodriguez
2021 · A
19 46→56 42→45 49→50 46 .224/.285/.337 .113.288 99 25% 8% 72 -0.2 .233/.299/.337 .104.295 612 21% 8% 79 +0.3 .254/.316/.360.106.307101619%7%89+0.7
Willy Adames
2015 · A
19 48→53 41→60 47→50 46 .224/.293/.338 .114.316 66 29% 8% 76 +0.1 .224/.290/.335 .111.332 78 32% 8% 75 -0.0 .263/.332/.462.199.34124528%9%122+2.4
Victor Heredia
2019 · A
19 47 44→50 42→30 40 .230/.273/.349 .119.292 114 25% 4% 71 -0.3 .214/.267/.303 .089.290 74 27% 6% 56 -1.3 .176/.240/.214.038.2493228%6%21-1.0
Esmerlyn Valdez
2023 · A
19 42 45→55 45→40 43 .206/.283/.328 .122.292 135 32% 8% 71 -0.3 .197/.275/.334 .137.303 164 38% 8% 69 -0.4 .194/.284/.363.169.27823237%9%78+0.1
Ravel Santana
2011 · A
19 43 46→50 51→55 47 .214/.294/.340 .125.274 1415 26% 8% 79 +0.3 .220/.281/.362 .142.292 1613 29% 7% 79 +0.3 .205/.253/.387.182.264221531%6%72-0.1
Eddys Leonard
2019 · A
18 42→46 41→50 48→45 47 .202/.283/.303 .101.271 913 27% 9% 65 -0.7 .209/.282/.326 .117.298 118 31% 8% 69 -0.4 .224/.290/.376.152.29017428%6%83+0.5
Hao-Yu Lee
2023 · A
20 48→44 45→50 48→55 46 .232/.304/.355 .124.309 1212 28% 8% 86 +0.8 .239/.303/.370 .131.306 1316 25% 7% 89 +1.0 .238/.303/.382.143.296141924%7%90+0.7
Daniel Robertson
2014 · A
20 46→54 43→45 38→40 46 .227/.287/.337 .110.280 104 22% 7% 74 -0.1 .243/.310/.355 .112.303 93 22% 7% 89 +0.9 .234/.338/.350.116.30512425%11%96+0.8
Jeferson Quero
2022 · A
19 48→45 43→50 47→45 50 .231/.307/.347 .116.285 109 22% 8% 85 +0.7 .226/.277/.353 .127.290 148 26% 6% 74 -0.1 .224/.279/.364.140.27117624%6%75+0.0